あくまで、一例ですが、Annals of Internal Medicine (IF 17)の投稿規定は以下のようになっています。
以下はAnnals of Internal Medicineからの引用です。
Report percentages to one decimal place (i.e., xx.x%) when sample size is =200.
To avoid the appearance of a level of precision that is not present with small samples, do not use decimal places (i.e., xx%, not xx.xx%) when sample size is < 200.
Use “mean (SD)” rather than “mean ± SD” notation. The ± symbol is ambiguous and can represent standard deviation or standard error.
Report confidence intervals, rather than standard errors, when possible.
For P values between 0.001 and 0.20, please report the value to the nearest thousandth. For P values greater than 0.20, please report the value to the nearest hundredth. For P values less than 0.001, report as “P<0.001.”
Use the word trend when describing a test for trend or dose-response.
Avoid the term trend when referring to P values near but not below 0.05. In such instances, simply report a difference and the confidence interval of the difference (if appropriate) with or without the P value.
Specify in the statistical analysis section the statistical software—version, manufacturer, and the specific functions, procedures, or programs—used for analyses.
When reporting findings from Cox proportional hazards models:
Do not describe hazard ratios as relative risks.
Do report how the assumption of proportional hazards was tested, and what the test showed.
In tables that simply describe the characteristics of 2 or more groups (e.g., Table 1 of a clinical trial):
Report averages with standard deviations, not standard errors, when data are normally distributed.
Report median (minimum, maximum) or median (25th, 75th percentile [interquartile range, or IQR] when data are not normally distributed.
Avoid reporting P values as there can be imbalance when P values are not significant (because of small sample size) and balance when P values are significant (because of large sample size).
##Tables reporting multivariable analyses
Authors sometimes present tables that compare one by one an outcome with multiple individual factors followed by a multivariable analysis that adjusts for confounding. If confounding is present, as is often the case, the one-way comparisons are simply intermediate steps that offer little useful information for the reader. In general, omit presenting these intermediate steps in the manuscript and do not focus on them in the Results or Discussion.
When developing informative graphics, follow these simple rules of thumb:
Avoid pie charts.
Avoid simple bar plots that do not present measures of variability.
For meta-analysis forest plots, provide the raw data (numerators and denominators) in the margins.
For survival plots, provide the numbers of people at risk by group and time below the horizontal axis.